DANIEL APOLINARIO

(Fonte: Lattes)
Índice h a partir de 2011
13
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  • article 45 Citação(ões) na Scopus
    The Impact of Frailty on the Relationship between Life-Space Mobility and Quality of Life in Older Adults During the COVID-19 Pandemic
    (2021) SARAIVA, M. D.; APOLINARIO, D.; AVELINO-SILVA, T. J.; TAVARES, C. De Assis Moura; GATTAS-VERNAGLIA, I. F.; FERNANDES, C. Marques; RABELO, L. M.; YAMAGUTI, S. Tavares Fernandes; KARNAKIS, T.; KALIL-FILHO, R.; JACOB-FILHO, W.; ALIBERTI, Marlon Juliano Romero
    Background The COVID-19 pandemic has led to abrupt restrictions of lile-space mobility. The impact of shelter-in-place orders on older adults' health and well-being is still unclear. Objective To investigate the relationship between life-space mobility and quality of life (QoL) in older adults with and without frailty during the COVID-19 pandemic. Design Multicenter prospective cohort study based on structured telephone interviews. Setting Four geriatric outpatient clinics in the metropolitan area of Sao Paulo, Brazil. Participants 557 community-dwelling adults aged 60 years and older. Measurements The Life-Space Assessment was used to measure community mobility before and during the COVID-19 pandemic, and a previously validated decrease of >= 5 points defined restricted life-space mobility. Frailty was assessed through the FRAIL (fatigue, resistance, ambulation, illnesses, and loss of weight) scale. The impact of shelter-in-place orders on QoL was evaluated with the question << How is the COVID-19 pandemic affecting your QoL?>>, to which participants could respond << not at all >>, << to some extent >>, or << to a great extent >>. We used ordinal logistic regressions to investigate the relationship between restricted life-space mobility and impact on QoL, adjusting our analyses for demographics, frailty, comorbidities, cognition, functionality, loneliness, depression, and anxiety. We explored whether frailty modified the association between life-space mobility and impact on QoL. Results Participants were on average 80 +/- 8 years old, 65% were women, and 33% were frail. The COVID-19 quarantine led to a restriction of community mobility in 79% of participants and affected the QoL for 77% of participants. We found that restricted life-space mobility was associated with impact on QoL in older adults during the pandemic, although frailty modified the magnitude of the association (P-value for interaction=0.03). Frail participants who experienced restricted life-space mobility had twice the odds of reporting an impact on QoL when compared with non-frail individuals, with respective adjusted odds ratios of 4.20 (95% CI=2.36-7.50) and 2.18 (95% CI=1.33-3.58). Conclusion Older adults experienced substantial decreases in life-space mobility during the COVID-19 pandemic, and this unexpected change impacted their QoL. Providers should be particularly watchful for the consequences of abrupt life-space restrictions on frail individuals.
  • article 4 Citação(ões) na Scopus
    A 10-min Targeted Geriatric Assessment Predicts Mortality in Fast-Paced Acute Care Settings: A Prospective Cohort Study
    (2019) ALIBERTI, M. J. R.; COVINSKY, K. E.; APOLINARIO, D.; LEE, S. J.; FORTES-FILHO, S. Q.; MELO, J. A.; VIANA, S. S. C.; SUEMOTO, C. K.; JACOB-FILHO, W.
    ObjectivesTo estimate whether a 10-minute Targeted Geriatric Assessment (10-TaGA) adds utility to sociodemographic characteristics and comorbidities in predicting one-year mortality in busy acute care settings. We have also compared the performance of 10-TaGA with the Identification of Seniors at Risk (ISAR) scale.DesignProspective cohort study.SettingGeriatric day hospital specializing in acute care in BrazilParticipants751 older adults aged 79.4 8.4 years (64% female), presenting non-surgical, medical illness requiring hospital-level care (e.g., intravenous therapy, laboratory test, radiology) for 12 hours.MeasurementsThe 10-TaGA, an easy-to-administer screening tool based on the comprehensive geriatric assessment (CGA), provided a measure of cumulative deficits ranging from 0 (no deficits) to 1 (highest deficit) on admission. Standard risk factors, including sociodemographics (age, gender, ethnicity, income) and the Charlson comorbidity index, were evaluated. The ISAR, a well-validated screening tool, was used for comparison.ResultsDuring one year of follow-up, 130 (17%) participants died. Compared to the ISAR, 10-TaGA offered better accuracy in identifying older patients at risk of death (area under the receiver operating characteristic curve: [AUC] 0.70 vs 0.65; P = 0.03). In a Cox regression model adjusted for sociodemographics and comorbidities, each 0.1 increment in the 10-TaGA score (range 0-1) was associated with increased mortality (hazard ratio = 1.42, 95% confidence interval 1.27-1.59). The addition of 10-TaGA markedly improved the discrimination of the model, which already incorporated standard risk factors (AUC 0.76 vs 0.71; P = 0.005); adding ISAR (AUC 0.73 vs 0.71; P = 0.09) did not have this marked effect.ConclusionThe 10-TaGA is an independent predictor of one-year mortality in acute care patients. This multidimensional screening tool offers better accuracy than ISAR when differentiating between older people at low and high risk of death in healthcare settings where providers have limited time and resources.
  • article 8 Citação(ões) na Scopus
    Role of Gait Speed, Strength, and Balance in Predicting Adverse Outcomes of Acutely Ill Older Outpatients
    (2020) FORTES-FILHO, Sileno Queiroz; ALIBERTI, M. J. R.; APOLINARIO, D.; MELO-FORTES, J. A.; SITTA, M. C.; JACOB-FILHO, W.; GARCEZ-LEME, L. E.
    Aim To evaluate the ability of the Short Physical Performance Battery (SPPB) for predicting 1-year adverse outcomes of acutely ill older outpatients. Methods Prospective study with 512 acutely ill older outpatients (79.4 +/- 8.3 years, 63% female) in an acute care day hospital. The SPPB was administered at admission. Participants were classified as low (0-4 points), intermediate (5-8 points), or high (9-12 points) performance. Primary outcomes were new dependence in basic activities of daily living (ADL), hospitalization, and death at 1 year. Cox models tested whether the SPPB predicted outcomes after adjustment for sociodemographic factors, comorbidities and well-known geriatric conditions. We also estimated whether the chair-stand and balance tests improve the SPPB's ability to identify patients at high risk of adverse outcomes. Results Patients with intermediate or low SPPB performance were at higher risk of 1-year new ADL dependence (32% vs 13%: adjusted hazard ratio [aHR]=2.00; 95%CI=1.18-3.37; 58% vs 13%: aHR=3.40; 95%CI=2.00-5.85, respectively), hospitalization (43% vs 29%: aHR=1.56; 95%CI=1.04-2.33; 44% vs 29%: aHR=1.80; 95%CI=1.15-2.82), and death (18% vs 6%: aHR=2.54; 95%CI=1.17-5.53; 21% vs 6%: aHR=2.70; 95%CI=1.17-6.21). Use of all three components (versus gait speed alone) improved predictions of new ADL dependence (Harrell's C=0.73 vs 0.70;P=0.01), hospitalization (Harrell's C=0.60 vs 0.57;P=0.04), and death (Harrell's C=0.67 vs 0.62;P=0.04). Conclusions The SPPB is as a powerful tool for identifying acutely ill older outpatients at high-risk of adverse outcomes. The combination of the three components of the SPPB resulted in better predictive performance than gait speed alone.